When Labels Shift: Few-Shot Fine-Tuning Versus Unsupervised Domain Adaptation for Cross-Dataset Battery Cycle-Life Prediction
Lithium-ion batteries are widely deployed in electric vehicles and energy-storage systems, and accurate early prediction of cycle life is critical for safety, warranty cost, and second-life planning. Models trained on one dataset, however, rarely transfer to new chemistries, test protocols, or laboratories, and re-coll...